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FilmTogether: Cinematic Video Generation from Low-Cost Inputs — arXiv:2611.00899

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.00899
License (as archived): CC0-1.0
Archived: 2026-11-03T18:53:18.869Z
SHA-256 of the archived text: 891f3fecc0918372c4cab1bc56853c253d8f447f4921b3a6f45a071cf684e5f7
Stable URL of this page: https://metraipolis.com/documento/dc_cedcb45018bf

How to cite

FilmTogether: Cinematic Video Generation from Low-Cost Inputs — arXiv:2611.00899 — arXiv (en), https://arxiv.org/abs/2611.00899 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_cedcb45018bf (Metraipolis archive dc_cedcb45018bf, sha256 891f3fecc0918372c4cab1bc56853c253d8f447f4921b3a6f45a071cf684e5f7)

BibTeX

@misc{dccedcb45018bf,
  title = {FilmTogether: Cinematic Video Generation from Low-Cost Inputs — arXiv:2611.00899},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.00899},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_cedcb45018bf; sha256 891f3fecc0918372c4cab1bc56853c253d8f447f4921b3a6f45a071cf684e5f7},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.00899. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

The widespread adoption of mobile devices has democratized video recording, but a stark aesthetic divide persists between casual, low-cost captures and high-cost cinematic productions. Bridging this gap requires upgrading heterogeneous production elements, such as lighting, specialized costumes, and materials, without altering the core layout, identity, and temporal motion of the original footage. However, this task is heavily bottlenecked by two important challenges: 1) Lacking a high-quality paired training data specifically designed to handle complex low-to-high appearance shifts. 2) Ignoring the capacity of current video editing models to perceive and enhance the multiple low-cost compositions. To address these issues, we present CineCraft-120K, a large-scale dataset of aligned low- and high-cost video pairs annotated with pair-aware editing prompts. CineCraft-120K features a diverse, high-resolution and high-cost Cinematic Crafting bank spanning decades of media production, meticulously taxonomized into 5 broad domains and 23 fine-grained sub-categories. It also provides element-level mapping between low- and high-cost counterparts, offering pair-aware rich textual prompts that precisely detail the required aesthetic transformations while anchoring structural layout. Architecturally, we propose a simple yet effective dual-memory feature adapter, where a text-memory expands semantic capacity for low2high appearance changes, and a hint memory supplies layer-wise visual feature corrections of high-cost element before context injection. Extensive experiments and ablation studies demonstrate the superiority of CineCraft-120K for low-to-high-cost video editing, alongside the effectiveness of our dual-memory adapter.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2611.00899 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T18:16:52.908Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).